Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yunqi Miao"'
Autor:
Sha Diao, Xueyao Wu, Xiaofan Zhang, Yu Hao, Bin Xu, Xu Li, Lulu Tian, Yunqi Miao, Xunying Zhao, Feng Ye, Jiayuan Li
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess
Externí odkaz:
https://doaj.org/article/a178f9a2b9c64d3eaf0cdfef76d29865
Publikováno v:
Information Fusion. 91:396-411
Autor:
Jiayuan Li, Xueyao Wu, Yunqi Miao, Bin Xu, Sha Diao, Xu Li, Feng Ye, Xunying Zhao, Xiaofan Zhang, Lulu Tian, Yu Hao
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports
There is strong evidence to suggest that obesity-related proteins play a key role in pathways that are related to breast cancer. In this study, we aimed to establish a robust obesity-related protein score (ORPS) that could be used to assess breast ca
Publikováno v:
Journal of Evidence-Based Medicine. 14:275-277
Publikováno v:
IEEE Transactions on Image Processing. 30:7554-7566
Despite the great success achieved by prevailing binary local descriptors, they are still suffering from two problems: 1) vulnerable to the geometric transformations; 2) lack of an effective treatment to the highly-correlated bits that are generated
Autor:
Xunying Zhao, Lulu Tian, Kun Zou, Xiaofan Zhang, Ziqiong Shen, Mengyuan Wang, Litao Sun, Bin Xu, Xueyao Wu, Long Cheng, Yunqi Miao, Jiayuan Li
Publikováno v:
Epidemiology and Infection
As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative
Publikováno v:
Pattern Recognition Letters. 125:113-118
The task of crowd counting and density maps estimating from videos is challenging due to severe occlusions, scene perspective distortions and diverse crowd distributions. Conventional crowd counting methods via deep learning technique process each vi
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 16:643-647
Ensemble learning is one of the hottest topics in machine learning. In this letter, we develop a convolutional attention in ensemble (CAE) method, which, for the first time, introduces attention-based weighting scheme into ensemble learning. The know
Autor:
Xiaofan Zhang, Xu Li, Hui Chen, Yu Hao, Jiayuan Li, Yunqi Miao, Menglu Jiang, Xiaorong Zhong, Can Hou
Publikováno v:
Obesity researchclinical practice. 15(5)
Adult weight gain is a good indicator of excess body fatness for breast cancer risk. However, little is known about the effect of weight gain during other special periods in women’s lifetime. A publication search in PubMed and Embase through April